Since my previous project on bus rides I have noticed a drop in temperature, that made me ask myself: does this change any of the variables such as: lateness, or fullness?

The weather types on the days data was recorded

Despite the storm on the previous week there seems to be more days that are dry then wet (spitting, raining, pouring), With the most clear days.

Taaking a look at the temperature…

But even if the weather is more clear then what about the temperature? We can see that buses that were late had a strong positive relationship with temperature, meaning they were more prone to be late in warmer temperatures, while buses that were not late had a weaker positive relationship with temperature and had more variability.

Dry or wet weather?

We can see by this graph that overall Dry weather seemed to have more late buses then in wet weathers, with buses in the wet weather’s not even late by 5 minutes, whereas the buses in the dry weather showing results that they were late for over 10 minutes.

In conclusion

I can conclude that in a shocking turn of events buses were more likely to be late in not only dry weathers, but warmer temperatures.